Biomedical Engineering MS - Curriculum

This course is a graduate-level introduction to the biodesign process used for innovating medical technologies. Student teams will apply a needs-based assessment strategy to identify opportunities in a biomedical related field such as assistive technologies and rehabilitation engineering. Incorporating CAD will culminate in a virtual medical device prototype. Concepts of intellectual property, regulatory considerations, and reimbursement and business models will be introduced. (This course is restricted to Graduate students.) Lecture 3 (Fall).

This course will expose student to the basic properties of data collected from biological systems and issues involved in the statistical analysis of such data. Specifically, this course will review the motivations and rationale behind conventional regression models, issues that arise in applying these methods to biological data, and specific extensions of these methods required to obtain meaningful results. Specific examples of these approaches and their application will be given at different levels of biology. The analysis of such problems will require the use of advanced regression techniques directed at resolving the partial confounding that is typical of living (closed loop regulated) systems, applied under statistical software packages (e.g., spreadsheets, graphing, Matlab, SPSS, Simca). (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Lab 3 (Biannual).

This course provides students with a variety of lab experiences across many specialties of biomedical engineering. Experiments emphasize proper data collection and analysis as well as critical reading and scientific writing. (This course is available to RIT degree-seeking graduate students.) Lab 6, Lecture 2 (Fall).

This course is used by students in the Biomedical Engineering MS degree program as a capstone experience following completion of BIME 607 Graduate Biodesign. Students will learn and apply advanced Biodesign strategies related to intellectual property, regulatory approval, and potential commercialization, completing a series of modules with specific learning goals. The course will include the design and fabrication of product concepts using rapid prototyping tools. Students completing an internship may use that experience as motivation for their project in this course. Students must work with a faculty advisor who will approve their topic and review their progress throughout the completion of this capstone experience. A written paper and presentation of the work as well as a prototype are required. (Prereq: BIME-607) Ind Study 6 (Fall, Spring, Summer).

The course begins with a pertinent review of linear and nonlinear ordinary differential equations and Laplace transforms and their applications to solving engineering problems. It then continues with an in-depth study of vector calculus, complex analysis/integration, and partial differential equations; and their applications in analyzing and solving a variety of engineering problems. Topics include: ordinary and partial differential equations, Laplace transforms, vector calculus, complex functions/analysis, complex integration. Chemical engineering applications will be discussed throughout the course. (Prerequisites: Graduate standing in Chemical Engineering.) Lecture 3 (Fall).